Data Strategy Consultant at Accenture | Torre

Data Strategy Consultant

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Full-time

Legal agreement: To be defined

USD75.4K - 100K/year

~COP150M - 200M/year

+ Equity

+ Bonuses

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Copenhagen, Denmark
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Posted over 2 years ago

Requirements and responsibilities


Accenture is a global professional services company with leading capabilities in digital, cloud, and security. They offer Strategy & Consulting, Interactive, Technology, and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. With 740,000 employees serving clients in more than 120 countries, Accenture embraces the power of change to create value and shared success for clients, people, shareholders, partners, and communities. Accenture Strategy & Consulting is looking for a Data Strategy Consultant to join their Data & AI team. The ideal candidate will have a passion for transforming businesses with the newest technologies and making them data-driven companies. The role involves creating Data and AI strategy, assessing business opportunities, and developing and optimizing Data and AI operating models. The candidate should have a proven track record of successful Data and AI strategy implementations, thought leadership in the field, and the ability to mentor and guide consultants in the team. This is a great opportunity to work with a global network of talented colleagues, build a professional career, and contribute to the biggest companies in Denmark and the Nordics. Responsibilities: - Define business value based on Data and AI - Advise and help customers through the changes that Generative AI entails - Communicate technology, Data, and AI solutions and the value they create for the business to C-level - Build Data and AI strategy anchored with CXOs - Support sales activities with producing sharp content and message for CXO pitches - Analyze As-Is and design To-Be AI and Data architecture, tools, and processes - Communicate new data-driven insights to inspire and transform the way we do business - Make data discovery, form hypotheses, and test these together with the customer
Optionally, you can add more information later (benefits, pre-screening questions, etc.)
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